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A knowledge-based model for evaluating the impact of gear-based management measures under Europe's new Common Fisheries Policy

机译:一种基于知识的模型,用于评估欧洲新《共同渔业政策》中基于渔具的管理措施的影响

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摘要

A model combining qualitative and historical quantitative data in an innovative rule-based fuzzy cognitive map framework is used to assess and compare the long-term bioeconomic impact of adopting gear modifications aimed at reducing bycatch in the Portuguese crustacean trawl fishery. The impact of codend-related changes (mesh size and shape) and the introduction of a sorting device (sorting grid system) on the main target crustacean species (deepwater rose shrimp Parapenaeus longirostris and Norway lobster Nephrops norvegicus) and the main fish bycatch species (blue whiting Micromesistius poutassou, horse mackerel Trachurus trachurus, and European hake Merluccius merluccius) were evaluated. Horse mackerel was the only fish species for which changing codends negatively affected landings per unit of effort by large percentages. The use of a sorting grid system, only evaluated for blue whiting and Norway lobster, led to a strong decrease in landings per unit of effort, especially for the former species. The impact of gear alterations was negligible on fish spawning-stock biomass, but was significant for crustaceans, particularly rose shrimp. A straightforward evaluation of the economic impact (fishers' revenues) of the three bycatch reduction options showed these to be negligible or small.
机译:在基于规则的创新模糊认知图框架中,将定性和历史定量数据相结合的模型用于评估和比较采用齿轮减少旨在减少葡萄牙甲壳类拖网捕捞副渔获物的长期生物经济影响。与code鱼相关的变化(网眼大小和形状)的影响,以及引入分选装置(分选网格系统)对主要目标甲壳类物种(深水玫瑰虾对虾和挪威龙虾Nephrops norvegicus)以及主要鱼类兼捕种类(蓝鳕鱼(Micromesistius poutassou),鲭鱼Trachurus trachurus和欧洲无须鳕(Merluccius merluccius)被评估。竹荚鱼是唯一改变种类的code对单位工作量上岸量造成很大影响的鱼类。仅对蓝鳕和挪威龙虾进行了评估的分类网格系统的使用导致单位工作量着陆量大大减少,特别是对于前一种物种。渔具更换对鱼类产卵生物量的影响可以忽略不计,但对于甲壳类动物,特别是玫瑰虾,影响显着。对三种兼捕减少方案的经济影响(渔民收入)进行的直接评估表明,这些方案可忽略不计或很小。

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